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Credit Risk Data Science Jobs in Haskell, OK (NOW HIRING)

Evaluates the credit risk of new and existing customers through analysis of financial data, payment history, and related credit information. * Recommends appropriate credit limits and payment terms ...

Evaluates the credit risk of new and existing customers through analysis of financial data, payment history, and related credit information. * Recommends appropriate credit limits and payment terms ...

... credit data, financial statements and due diligence of individuals or companies to determine the degree of risk involved in extending credit or lending money. Job Duties and Responsibilities:

... risk, and business leaders to gather requirements and translate them into actionable product ... Required : • Bachelor's Degree in Computer Science, Data Science, Business or a related field • ...

AI Data Engineer - Senior Consultant

Tulsa, OK · Hybrid

$95.40K - $131.10K/yr

... vs. risk) and document decisions. * 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security. * 4+ years of experience with treat testing ...

Risk Management Pay Transparency Salary Range: Not Available Application Deadline: 05/31/2026 BOK ... Science, Data Science, Business or a related field and a minimum of 6 years of experience in ...

Lead Forward Deployed Engineer - Snowflake

Tulsa, OK · On-site

$93.60K - $123.30K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and ...

... risk. • You will maintain a centralized view of transformation priorities and communicate ... Required : • Bachelor's or Master's degree in Information Management, Computer Science, Business ...

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Credit Risk Data Science information

See Haskell, OK salary details

$27.3K

$84K

$145.8K

How much do credit risk data science jobs pay per year?

As of May 30, 2026, the average yearly pay for credit risk data science in Haskell, OK is $84,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $103,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.
What cities near Haskell, OK are hiring for Credit Risk Data Science jobs? Cities near Haskell, OK with the most Credit Risk Data Science job openings:
Credit and Collection Analyst

Credit and Collection Analyst

AAON, Inc.

Tulsa, OK • On-site

Full-time

Posted 25 days ago


AAON rating

7.8

Company rating: 7.8 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

174th of 415 rated machine equipment manufacturers


Job description

Job Description:

The Credit and Collection Analyst I is responsible for evaluating customer credit risk and supporting the timely collection of outstanding receivables to maintain consistent cash flow and minimize financial exposure. This role contributes to department objectives by assessing creditworthiness, monitoring accounts receivable activity, and resolving payment issues. The position collaborates with internal teams and external customers to address disputes, negotiate payment arrangements, and improve collection outcomes. Through accurate analysis and effective communication, the role helps protect the organization's financial stability.

Primary Duties

Primary duties may include, but are not limited to:

  • Evaluates the credit risk of new and existing customers through analysis of financial data, payment history, and related credit information.
  • Recommends appropriate credit limits and payment terms based on established guidelines and risk assessments.
  • Monitors accounts receivable balances and aging reports to ensure timely collection of outstanding payments.
  • Communicates with customers regarding past-due accounts through phone calls, written correspondence, and electronic communication to resolve delinquent balances.
  • Negotiates and documents payment arrangements with customers experiencing financial challenges and monitors compliance with agreed terms.
  • Researches and resolves billing disputes by coordinating with internal departments to correct discrepancies and address customer concerns.
  • Prepares regular reports related to receivables aging, collection performance, and credit exposure for management review.
  • Supports process improvement initiatives related to credit evaluation, collections, dispute resolution, and reporting accuracy.
  • Provides backup support to cash application activities as needed.
  • Performs other duties as assigned.

Job Requirements

Education and Experience Requirements:

Requires a Bachelor's degree in finance, accounting, business administration, or a related discipline; 3+ years of experience in credit analysis, collections, or a related financial role, or any combination of education and experience, which would provide an equivalent background. Credit Business Associate certification preferred.

  • Strong analytical skills with the ability to assess credit risk and interpret financial information.
  • Effective verbal and written communication skills for interacting with customers and internal stakeholders.
  • Strong attention to detail and accuracy in maintaining financial records and documentation.
  • Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
  • Solid problem-solving and negotiation skills to resolve disputes and establish payment solutions.
  • Working knowledge of applicable credit, collection, and compliance regulations.

Essential Mental and Physical Functions:

  • Ability to analyze financial data and make sound decisions based on established policies.
  • Prolonged periods of sitting and performing computer-based work.
  • Ability to communicate clearly and professionally via phone, email, and written correspondence.
  • Ability to lift up to 25 lbs. occasionally.
  • Ability to bend, stoop, or climb as required.

Work Environment:

  • Perform all tasks in an office or office-like environment.
  • Regular use of standard office equipment.
  • Minimal exposure to physical hazards.
  • Frequent interaction with internal teams and external customers.
  • Compliance with all company policies to maintain a safe and professional work environment.

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